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Runner profile optimisation of gravitational vortex water turbine

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 13 No. 5 (2023)

DOI
10.11591/ijece.v13i5.pp4777-4788
ISSN
2722-2578, 2088-8708
Published
2023-10-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-sa/4.0

Abstract

This study discusses the numerical optimisation and performance testing of the turbine runner profile for the designed gravitational water vortex turbine. The initial design of the turbine runner is optimised using a surface vorticity algorithm coded in MATLAB to obtain the optimal stagger angle. Design validation is carried out using computational fluid dynamics (CFD) Ansys CFX to determine the performance of the turbine runner with the turbulent shear stress transport model. The CFD analysis shows that by optimising the design, the water turbine efficiency increases by about 2.6%. The prototype of the vortex turbine runner is made using a 3D printing machine with resin material. It is later tested in a laboratory-scale experiment that measures the shaft power, shaft torque and turbine efficiency in correspondence with rotational speeds varying from 150 to 650 rpm. Experiment results validate that the optimised runner has an efficiency of 45.3% or about 14% greater than the initial design runner, which has an efficiency of 39.7%.

Collaboration network of the authors

40 authors · 149 co-authorship links · 70 across different organisations · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • National Research and Innovation Agency
  • National University of Malaysia
  • University of Indonesia
  • Universitas Muhammadiyah Gorontalo
  • Universitas Islam Negeri Sultan Syarif Kasim Riau
  • Universitas Islam Negeri Mataram
  • Universitas Muhammadiyah Riau
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Kamaruzzaman SopianNational University of Malaysia19
Ivan TaslimUniversitas Muhammadiyah Gorontalo6
Muhammad ZohriUniversitas Islam Negeri Mataram6
Abrar RidwanUniversitas Muhammadiyah Riau4
Rado YendraUniversitas Islam Negeri Sultan Syarif Kasim Riau4
Ahmad RajaniAffiliation unknown4
Mohd Hafidz RuslanNational University of Malaysia3
Merita Ayu IndriantiUniversitas Muhammadiyah Gorontalo3
Intan Noviantari ManyoeState University of Gorontalo3
Saprizal HadisaputraUniversity of Mataram3
Agus RisdiyantoNational Research and Innovation Agency3
Noviadi Arief RachmanNational Research and Innovation Agency3
Ant. Ardath KristiNational Research and Innovation Agency3
Agus JunaediNational Research and Innovation Agency3
Dalmasius Ganjar SubagioNational Research and Innovation Agency3
Udin KomarudinUniversitas Widyatama3
Mariyam Fazleena MusthafaNational University of Malaysia2
Ari Pani DesvinaUniversitas Islam Negeri Sultan Syarif Kasim Riau2
Tri SuyonoKhairun University2
Nur Farhana Mohd RazaliNational University of Malaysia2
Majid Khan Majahar AliUniversiti Sains Malaysia2
Nurul Shahirah Binti RukmanNational University of Malaysia2
Rudi DarussalamNational Research and Innovation Agency2
Fitrotun AliyahAffiliation unknown2
Arthur Gani KotoAffiliation unknown2
Hartono HartonoAffiliation unknown2
Ari Pani DesvinaAffiliation unknown2
Majid Khan Bin Majahar AliAffiliation unknown2
Muslizainun MustaphaAffiliation unknown2
Mohd Hafidz RuslanAffiliation unknown2
Fajar YuliantoAffiliation unknown2
Muhammad Rokhis KhomarudinAffiliation unknown2
Muhammad PriyatnaAffiliation unknown2

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Runner profile optimisation of gravitational vortex water turbine</dc:title><dc:creator>Subekti, Ridwan Arief</dc:creator><dc:creator>Wijaya, Sastra Kusuma</dc:creator><dc:creator>Sudarmaji, Arief</dc:creator><dc:creator>Atmaja, Tinton Dwi</dc:creator><dc:creator>Prawara, Budi</dc:creator><dc:creator>Susatyo, Anjar</dc:creator><dc:creator>Fudholi, Ahmad</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span lang="EN-GB"&amp;gt;This study discusses the numerical optimisation and performance testing of the turbine runner profile for the designed gravitational water vortex turbine. The initial design of the turbine runner is optimised using a surface vorticity algorithm coded in MATLAB to obtain the optimal stagger angle. Design validation is carried out using computational fluid dynamics (CFD) Ansys CFX to determine the performance of the turbine runner with the turbulent shear stress transport model. The CFD analysis shows that by optimising the design, the water turbine efficiency increases by about 2.6%. The prototype of the vortex turbine runner is made using a 3D printing machine with resin material. It is later tested in a laboratory-scale experiment that measures the shaft power, shaft torque and turbine efficiency in correspondence with rotational speeds varying from 150 to 650 rpm. Experiment results validate that the optimised runner has an efficiency of 45.3% or about 14% greater than the initial design runner, which has an efficiency of 39.7%.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2023-10-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v13i5.pp4777-4788</dc:identifier><dc:identifier>10.11591/ijece.v13i5.pp4777-4788</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 13 No 5 (2023); 4777</dc:source><dc:source>2722-2578</dc:source><dc:source>2088-8708</dc:source><dc:relation>https://ijece.iaescore.com/index.php/IJECE/article/viewFile/30694/16782</dc:relation><dc:rights>http://creativecommons.org/licenses/by-sa/4.0</dc:rights></oai_dc:dc>